Abstract

A series of 1000-body simulations have been performed in order to study
the nonlinear evolution of large-scale structure in an Einstein-de
Sitter universe. Simulations in which particles are initially
distributed independently are compared with simulations in which a flat
spectrum of random waves is truncated on small scales. The former
simulations model hierarchical clustering from white noise initial
conditions while the latter represent the growth of structure in the
pancake model. The Poisson simulations form tight clusters with no
large-scale coherence whereas the pancake simulations produce long
chains. The correlation function in the Poisson simulation grows in a
self-similar fashion and is not well fitted by a power law, whereas in
the pancake models it has roughly power law behavior over the range
100-1 with a slope that increases with time. The pancake models fit the
filamentary structure of the observed galaxy distribution considerably
better than the Poisson models.

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